We describe an automated system that can detect multiple outbreaks of infectious diseases from emergency department reports. A case detection system obtains data from electronic medical records, extracts features using natural language processing, then infers a probability distribution over the... Read more
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Content type: Abstract
Previous research identifies social media as an informal source of near-real time health data that may add value to disease surveillance systems by providing broader access to health data across hard-toreach populations. This indirect health monitoring may improve public health professionals’... Read more
Content type: Abstract
HealthMap collects and aggregates information from online sources to generate outbreak alerts based on disease and geographic location. This project will assess the timeliness and sensitivity of HealthMap based on outbreak posts from EpiCom, the Florida Department of Health’s disease outbreak... Read more
Content type: Abstract
Salmonellosis is the zoonotic disease caused by Salmonella bacteria. These are food-borne pathogens, which require improvement of diagnostics and surveillance measures. Prior to implementation of a PCR-based system for monitoring Salmonella, presence and differentiation of the agent was... Read more
Content type: Abstract
Lessons learned from the 2009 influenza pandemic have driven many changes in the standards and practices of respiratory disease surveillance worldwide. In response to the needs for timely information sharing of emerging respiratory pathogens (1), the DoD Armed Forces Health Surveillance Center (... Read more
Content type: Abstract
The revised International Health Regulations (IHR) have expanded traditional infectious disease notification to include surveillance diseases of international importance, including emerging infectious diseases. However, there are no clearly established guidelines for how countries should... Read more
Content type: Abstract
There are many proposed methods of identifying outbreaks of disease in surveillance data. However, there is little agreement about appropriate ways to choose amongst them. One common basis for comparison is simulating outbreaks and adding the simu lated cases to real data streams (‘injected... Read more
Content type: Abstract
A U.S. Department of Defense program is underway to assess health surveillance in resource-poor settings and to evaluate the Early Warning Outbreak Reporting System. This program has included several information-gathering trips, including a trip to Lao PDR in September, 2006.
... Read more
Content type: Abstract
Space-time scan statistics are often used to identify emerging spatial clusters of disease cases [1,2]. They operate by maximizing a score function (likelihood ratio statistic) over multiple spatio-temporal regions. The temporal component is typically incorporated by aggregating counts across a... Read more
Content type: Abstract
Block 3 of the US Military Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE) system affords routine access to multiple sources of data. These include administrative clinical encounter records in the Comprehensive Ambulatory Patient Encounter Record (... Read more
Content type: Abstract
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